code: def __getitem__(self, idx):
      src, tgt = super()._get_sample(idx)
      if len(src) > self.max_src_seq_length:
          src = src[: self.max_src_seq_length]
  
      if (
          len(tgt) > self.max_tgt_seq_length - 1
      ):  # -1 here to account for the <sep> token that gets added.
          tgt = tgt[: self.max_tgt_seq_length]
  
      np_rng = np.random.RandomState(seed=(self.seed + idx))
  
      return CrossLingualMakedSequenceToSequenceDataset.get_example(
          src=src,
          tgt=tgt,
          max_seq_length=self.max_seq_length,
          max_seq_length_dec=self.max_seq_length_dec,
          masked_lm_prob=self.masked_lm_prob,
          vocab_id_list=self.vocab_id_list,
          vocab_id_to_token_dict=self.vocab_id_to_token_dict,
          cls_id=self.cls_id,
          sep_id=self.sep_id,
          mask_id=self.mask_id,
          bos_id=self.bos_id,
          eos_id=self.eos_id,
          pad_id=self.pad_id,
          sentinel_tokens=self.sentinel_tokens,
          max_ngram_size=self.max_ngram_size,
          np_rng=np_rng,
          mean_ngram_size=self.mean_ngram_size,
          min_ngram_size=self.min_ngram_size,
          extreme_masked_lm_prob=self.extreme_masked_lm_prob,
          extreme_max_ngram_size=self.extreme_max_ngram_size,
          extreme_mean_ngram_size=self.extreme_mean_ngram_size,
          extreme_min_ngram_size=self.extreme_min_ngram_size,
          extreme_ngram_span_length_distribution=self.extreme_ngram_span_length_distribution,
          favor_long_ngrams=self.favor_long_ngrams,
          permutation=self.permutation,
          geometric_dist=self.geometric_dist,
          tokenizer_type=self.tokenizer_type,
          masking_type=self.masking_type,
      )
  
imports: from typing import Dict, List
  import numpy
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.collections.nlp.data.common.sequence_to_sequence_dataset import BinarizedMemmapSequenceToSequenceDataset, TextMemmapSequenceToSequenceDataset
  from nemo.collections.nlp.data.language_modeling.megatron.bert_dataset import build_training_sample
  from nemo.collections.nlp.data.language_modeling.megatron.length_distribution_type import LengthDistribution
  from nemo.collections.nlp.data.language_modeling.megatron.t5_dataset import T5Dataset
  from nemo.collections.nlp.data.language_modeling.megatron.ul2_dataset import UL2Dataset
label_desc: Use image node_id 3 for calling the CrossLingualMakedSequenceToSequenceDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: CrossLingualMakedSequenceToSequenceDataset